CN107680853B - Pre arcing time prediction technique based on breaker RDDS Parameter Self-learning - Google Patents
Pre arcing time prediction technique based on breaker RDDS Parameter Self-learning Download PDFInfo
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- CN107680853B CN107680853B CN201710825097.3A CN201710825097A CN107680853B CN 107680853 B CN107680853 B CN 107680853B CN 201710825097 A CN201710825097 A CN 201710825097A CN 107680853 B CN107680853 B CN 107680853B
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01H—ELECTRIC SWITCHES; RELAYS; SELECTORS; EMERGENCY PROTECTIVE DEVICES
- H01H9/00—Details of switching devices, not covered by groups H01H1/00 - H01H7/00
- H01H9/54—Circuit arrangements not adapted to a particular application of the switching device and for which no provision exists elsewhere
- H01H9/56—Circuit arrangements not adapted to a particular application of the switching device and for which no provision exists elsewhere for ensuring operation of the switch at a predetermined point in the ac cycle
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01H—ELECTRIC SWITCHES; RELAYS; SELECTORS; EMERGENCY PROTECTIVE DEVICES
- H01H9/00—Details of switching devices, not covered by groups H01H1/00 - H01H7/00
- H01H9/54—Circuit arrangements not adapted to a particular application of the switching device and for which no provision exists elsewhere
- H01H9/56—Circuit arrangements not adapted to a particular application of the switching device and for which no provision exists elsewhere for ensuring operation of the switch at a predetermined point in the ac cycle
- H01H2009/566—Circuit arrangements not adapted to a particular application of the switching device and for which no provision exists elsewhere for ensuring operation of the switch at a predetermined point in the ac cycle with self learning, e.g. measured delay is used in later actuations
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Keying Circuit Devices (AREA)
- Driving Mechanisms And Operating Circuits Of Arc-Extinguishing High-Tension Switches (AREA)
Abstract
The present invention is based on the pre arcing time prediction techniques of breaker RDDS Parameter Self-learning, it is characterized in that, a phase is electrically closed based on breaker, and electrically close a little time difference between main contact combined floodgate point, obtain breaker RDDS parameter, and operation is closed by repeatedly electrification and obtains RDDS characteristic parameter correction value, phase calculation pre arcing time predicted value is closed according to target on this basis.Method of the present invention is simple and reliable, operand is small, is highly susceptible to software realization in the controls.Control occasion is closed in breaker phase selection, precalculates and consider pre arcing time, is conducive to improve switching-on phase control precision, effectively inhibits transient state impact when electric system switch investment.
Description
Technical field
The present invention relates to grid circuit breaker technical fields, and RDDS is based on when more particularly to breaker phase bit shutting-brake control
The prediction technique of the pre arcing time of characteristic parameter self study.
Background technique
In electric system, the transient process for switching closing operation can generate the influence shoved with overvoltage, be unfavorable for system
Stability.A large amount of field applications experience have shown that, combined floodgate can be effectively reduced using phase selection, instantaneously system generation is rushed
It hits, but always exists during phase selection, between the target switching-on phase angle of practical switching-on phase angle and setting certain
Deviation, other than related to the dispersibility of the intrinsic mechanical closing time of breaker, the influence of prebreakdown characteristic can be brought for this
Bigger deviation.
In breaker during closing, along with the reduction of distance between fracture, fracture dielectric strength decline, when insulation is strong
Prebreakdown occurs when degree is lower than the system voltage value being applied on fracture, circuit is electrically closed a floodgate, therefore breaker closing phase
Additionally depend on dielectric strength rate of descent (RDDS:Rate of Decrease of dielectric Strength) between fracture.In advance
Breakdown voltage and the relationship of time are reduced to straight line, and the absolute value of slope is dielectric strength rate of descent RDDS, it may be assumed that Kp=
Ev.Wherein: KpIt is dielectric strength rate of descent RDDS；E is that contact gap is averaged disruptive field intensity, and V is closing speed.A large number of experiments card
Normal distribution, and K is presented in real RDDSpFor one hardly by the definite value of applied voltage polarity effect.
Prebreakdown characteristic is actually a kind of statistical property, since the variation of breaker fracture voltage, contact surface are smooth
The influence of the factors such as degree, dielectric intensity and closing speed, in practical applications, the correlation of the prebreakdown characteristic of breaker
Parameter is very difficult to the pre arcing time for counting the variation of prebreakdown characteristic with measurement and predicting one combined floodgate next time, to raising
The phase selection precision of breaker is of great significance.
When breaker phase selection closes, it is based on the influence of breaker dielectric strength rate of descent (RDDS), different targets is closed
Different pre arcing times will be generated under lock angle.Occasion is controlled for fixed target switching-on phase, pre arcing time becomes
Change that range is little, under normal conditions according to the fixed pre arcing time of the intrinsic prebreakdown characteristic setting of breaker can be realized compared with
It is closed for accurate phase bit.If but each target switching-on phase needs to carry out dynamic adjustment, allusion quotation according to certain parameter size
When type application may such as need to determine target combined floodgate angle next time according to remanent magnetism level in combined floodgate no-load transformer,
The pre arcing time of each secondary shutting-brake control is also dynamic change, and the method for fixation pre arcing time traditional at this time can then introduce
Large error, therefore before carrying out shutting-brake control to breaker, pre arcing time is predicted in advance just very necessary.
China Patent Publication No. CN102315045B, publication date on 07 23rd, 2014, the entitled self study control of invention
The method of switching-on phase processed, which disclose a kind of methods that phase selecting switching-on apparatus adopts self-learning switching-on phase control, wherein
Step (4) closes coefficient in claim 1, for the known quantity that switch producer provides, and not thinks to change.Shortcoming
It is that practical closing operation closes coefficient and may change because the insulation characterisitic of breaker changes, and has certain dispersion
Property fails to be adjusted in real time according to the result of closing operation to closing coefficient.
The present invention closes operating result according to all previous electrification, the method by introducing the self study of RDDS characteristic parameter, to mesh
Pre arcing time corresponding to mark combined floodgate angle is predicted.Preshot of the present invention based on breaker RDDS Parameter Self-learning
Time forecasting methods are worn, algorithm is simple and reliable, operand is small, and is not related to non-linear content, is highly susceptible in the controls
Software realization, the pre arcing time for being particularly suitable for closing target phase to different phase selections in engineer application predicts, and
Carry out closing the occasion of control accordingly.Breaker pre arcing time is predicted using method of the present invention, and is being selected
Pre arcing time is considered when phase shutting-brake control, is conducive to improve switching-on phase control precision, to effectively inhibit electric system disconnected
Transient state impact when road device closes.
Summary of the invention
It is right the object of the present invention is to provide a kind of pre arcing time prediction technique based on breaker RDDS Parameter Self-learning
The pre arcing time that different phase selections close target phase is predicted, and considers pre arcing time in phase selection control, is had
Precision is controlled conducive to switching-on phase is improved, thus transient state impact when effectively electric power system circuit breaker being inhibited to close.
To achieve the goals above, the present invention is realized by following technical solution: being based on breaker RDDS parameter
The pre arcing time prediction technique of self study electrically closes a phase based on breaker, and electrically closes a little and main contact
Time difference between combined floodgate point obtains breaker RDDS parameter, and closes operation by repeatedly electrification and obtain RDDS characteristic parameter
Correction value closes phase calculation pre arcing time predicted value according to target on this basis.
Further, the breaker RDDS parameter is reduced parameter, can characterize breaker with approximately linear and close
The slope of dielectric strength rate of descent in journey, and relationship proportional to dielectric strength rate of descent.
Further, comprising the following steps:
(1) operation is closed by electrification to determine between circuit breaker electric air to close chalaza phase α and main contact combined floodgate point phase beta
Time difference Δ tpre, obtain breaker RDDS parameterAnd operation is closed by repeatedly electrification and obtains breaker
The correction value k of RDDS parametermRDDS；
(2) phase that closes reached as needed is θtargTarget, pass through characteristic parameter k in step (1)mRDDS, calculate
This pre arcing time predicted value that will be closed a floodgate out
Further, the circuit breaker electric air to close chalaza phase α is dashed forward by the feedback signal that characterization circuit breaker electric air to close closes
It is determining to become the moment.
Further, the feedback signal includes electric current, voltage or auxiliary signal.
Further, a breaker main contact combined floodgate point phase beta, by the direct signal of characterization main contact time of contact
Or there is the indirect signal of set time difference to obtain with main contact time of contact.
Further, the indirect signal includes breaker auxiliary contact position signal.
Further, the correction value k of the breaker RDDS parametermRDDSIt is that operation knot is closed according to the electrification of breaker n times
What fruit obtained, N >=2, and can be according to historical data constantly to kmRDDSCarry out self study amendment.
Further, the correction value k of the breaker RDDS parametermRDDSIt is special to take n times to operate obtained multiple groups RDDS
The median or average value of parameter are levied, and can be constantly modified according to newest operating result.
Method of the present invention is simple and reliable, operand is small, is highly susceptible to software realization in the controls.Disconnected
Road device phase selection closes control occasion, precalculates and consider pre arcing time, is conducive to improve switching-on phase control precision, effectively
Inhibit transient state impact when electric system switch investment.
Detailed description of the invention
Fig. 1 is that the pre arcing time prediction technique based on breaker RDDS Parameter Self-learning realizes schematic diagram；
Specific embodiment
In order to make the objectives, technical solutions, and advantages of the present invention clearer, right below according to accompanying drawings and embodiments
The present invention is further elaborated.It should be appreciated that specific implementation described herein is only used to explain the present invention, not
Limit the present invention.
Embodiment 1
Based on the pre arcing time prediction technique of breaker RDDS Parameter Self-learning, only carried out so that single phase closing operates as an example
Illustrate, the prediction technique of remaining phase is similar, as shown in Figure 1.Sinusoidal waveform represents voltage between breaker fracture, is ordinarily selected to break
The system voltage of road device source side, feedback signal are mutated the moment and characterize circuit breaker electric air to close chalaza, and auxiliary contact is and breaker
There is the high precision position contact of set time difference in main fracture closing moment.It mainly comprises the steps that
(1) operating result is closed by the 1st time, obtains circuit breaker electric air to close chalaza phase α1And breaker main contact
A combined floodgate point phase beta1, so that the true pre arcing time Δ t of this operation be calculatedpre=β1-α1, joined according to RDDS feature
Number further calculates this operation
(2) similarly, operation is closed by the 2nd time obtain kRDDS2, until n-th operates kRDDSN.Times N can be according to engineering
Site of deployment power transmission number requires or control accuracy requirement determines, N >=2, and the method for the invention should be able to be every by automatically recording
It is secondary close operation as a result, simultaneously calculating the RDDS characteristic parameter of nearest n times operation automatically.
(3) operation is closed by repeatedly electrification and obtains the correction value k of breaker RDDS parametermRDDS, correction value can basis
Nearest operation carries out continuous self study amendment, with can be with the newest variation of amiable reflection breaker prebreakdown characteristic.Letter
For the sake of change, the average value of obtained RDDS characteristic parameter can be operated by calculating the nearest n times of breaker, i.e.,
(4) if closing operation is wished in θ next timetargIt realizes electrically closing for breaker, is then obtained by latest computed
The k arrivedmRDDS, prediction will close a floodgate in θtargRequired pre arcing time when phase
(5) it when being closed to phase breaker progress phase selection, issues and does not consider prebreakdown time lag at the time of closing a floodgate order
Δ t afterwardstargpreIt issues, to realize in θtargPhase point is realized just and is electrically closed.
The embodiments described above only express several embodiments of the present invention, and the description thereof is more specific and detailed, but simultaneously
Limitations on the scope of the patent of the present invention therefore cannot be interpreted as.It should be pointed out that for those of ordinary skill in the art
For, without departing from the inventive concept of the premise, various modifications and improvements can be made, these belong to guarantor of the invention
Protect range.Therefore, the scope of protection of the patent of the invention shall be subject to the appended claims.
Claims (8)
1. the pre arcing time prediction technique based on breaker RDDS Parameter Self-learning, which is characterized in that the electricity based on breaker
Air to close chalaza phase, and a little time difference between main contact combined floodgate point is electrically closed, breaker RDDS parameter is obtained, and lead to
Excessive electrification closes operation and obtains RDDS characteristic parameter correction value, closes phase calculation prebreakdown according to target on this basis
Temporal predictive value；
Comprising the following steps:
(1) time for operating and determining between circuit breaker electric air to close chalaza phase α and main contact combined floodgate point phase beta is closed by electrification
Poor Δ tpre, obtain breaker RDDS parameterAnd operation is closed by repeatedly electrification and obtains breaker RDDS ginseng
Several correction value kmRDDS；
(2) phase that closes reached as needed is θtargTarget, pass through characteristic parameter k in step (1)mRDDS, calculate this
The secondary pre arcing time predicted value that will be closed a floodgate。
2. the pre arcing time prediction technique according to claim 1 based on breaker RDDS Parameter Self-learning, feature
Be: the breaker RDDS parameter is reduced parameter, and dielectric strength during breaker closes can be characterized with approximately linear
The slope of rate of descent, and relationship proportional to dielectric strength rate of descent.
3. the pre arcing time prediction technique according to claim 2 based on breaker RDDS Parameter Self-learning, feature
Be: the circuit breaker electric air to close chalaza phase α, the feedback signal mutation moment closed by characterization circuit breaker electric air to close determine.
4. the pre arcing time prediction technique according to claim 3 based on breaker RDDS Parameter Self-learning, feature
Be: the feedback signal includes electric current, voltage or auxiliary signal.
5. the pre arcing time prediction technique according to claim 2 based on breaker RDDS Parameter Self-learning, feature
Be: the breaker main contact combined floodgate point phase beta connects by the direct signal of characterization main contact time of contact or with main contact
The indirect signal that set time difference is carved with when touching obtains.
6. the pre arcing time prediction technique according to claim 5 based on breaker RDDS Parameter Self-learning, feature
Be: the indirect signal includes breaker auxiliary contact position signal.
7. the pre arcing time prediction technique according to claim 1 based on breaker RDDS Parameter Self-learning, feature
It is: the correction value k of the breaker RDDS parametermRDDSIt is to close what operating result obtained according to the electrification of breaker n times, N >=
2, and can be according to historical data constantly to kmRDDSCarry out self study amendment.
8. the pre arcing time prediction technique according to claim 7 based on breaker RDDS Parameter Self-learning, feature
It is: the correction value k of the breaker RDDS parametermRDDSTo take n times to operate the centre of obtained multiple groups RDDS characteristic parameter
Value or average value, and can be constantly modified according to newest operating result.
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| CN110729155A (en) * | 2018-07-17 | 2020-01-24 | 国网江苏省电力有限公司常州供电分公司 | Method for controlling closing phase through self-learning |
| CN109412126B (en) * | 2018-11-19 | 2020-09-22 | 国网四川省电力公司电力科学研究院 | Method and device for determining optimal split-phase closing time of large-capacity main transformer |
| CN113534684B (en) * | 2020-04-22 | 2022-08-26 | 南京南瑞继保电气有限公司 | Phase selection and closing control method and device |
| CN112763907A (en) * | 2021-04-07 | 2021-05-07 | 国网江西省电力有限公司电力科学研究院 | Method for checking field phase selection and switching-on functions of extra-high voltage alternating current filter |
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| CN201789337U (en) * | 2010-07-06 | 2011-04-06 | 南京南瑞继保电气有限公司 | Phase-selecting switch-on and switch-off controller |
| CN102315045B (en) * | 2010-07-06 | 2014-07-23 | 南京南瑞继保电气有限公司 | Self-learning switching-on phase control method |
| CA2823234C (en) * | 2011-01-12 | 2016-06-21 | Mitsubishi Electric Corporation | Power switching control device and closing control method thereof |
| CN103840470B (en) * | 2012-11-21 | 2016-03-23 | 华北电力科学研究院有限责任公司 | A kind of breaker closing phase control method, Apparatus and system |
| CN106597269A (en) * | 2016-11-28 | 2017-04-26 | 深圳供电局有限公司 | Intelligent debugging platform for phase control switch |
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